Code Monkey home page Code Monkey logo

coursera-exploratory-data-analysis-course-project-2's Introduction

  • Introduction

Fine particulate matter (PM_{2.5}) is an ambient air pollutant for which there is strong evidence that it is harmful to human health. In the United States, the Environmental Protection Agency (EPA) is tasked with setting national ambient air quality standards for fine PM and for tracking the emissions of this pollutant into the atmosphere. Approximatly every 3 years, the EPA releases its database on emissions of PM_{2.5}. This database is known as the National Emissions Inventory (NEI). You can read more information about the NEI at the [[http://www.epa.gov/ttn/chief/eiinformation.html][EPA National Emissions Inventory web site]].

For each year and for each type of PM source, the NEI records how many tons of PM_{2.5} were emitted from that source over the course of the entire year. The data that we use for this assignment are for 1999, 2002, 2005, and 2008. The data is available [[https://d396qusza40orc.cloudfront.net/exdata%252Fdata%252FNEI_data.zip][here]].

  • Goal The overall goal is to explore the National Emissions Inventory database and see what it say about fine particulate matter pollution in the United states over the 10-year period 1999-2008.

  • Questions

  • Have total emissions from PM_{2.5} decreased in the United States from 1999 to 2008?

    [[./plot1.png]]

  • Have total emissions from PM_{2.5} decreased in the Baltimore City, Maryland from 1999 to 2008?

    [[./plot2.png]]

  • Of the four types of sources indicated by the =type= (point, nonpoint, onroad, nonroad) variable, which of these four sources have seen decreases in emissions from 1999-2008 for Baltimore City? Which have seen increases in emissions from 1999-2008?

    [[./plot3.png]]

  • Across the United States, how have emissions from coal combustion-related sources changed from 1999-2008?

    [[./plot4.png]]

  • How have emissions from motor vehicle sources changed from 1999-2008 in Baltimore City?

    [[./plot5.png]]

  • Compare emissions from motor vehicle sources in Baltimore City with emissions from motor vehicle sources in Los Angeles County, California. Which city has seen greater changes over time in motor vehicle emissions?

    [[./plot6.png]]

coursera-exploratory-data-analysis-course-project-2's People

Contributors

tomlous avatar

Watchers

James Cloos avatar Faisal Bin Basha avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.